PE: What challenges do you face when positioning a platform like Simoa in a rapidly evolving precision health market, especially when addressing diseases as complex as Alzheimer’s?
Tetrault: Yes, so in terms of challenges that we face in this proteomics landscape, it would be that, you know, a lot of other platforms will claim Ultra sensitivity, right? And the key word with ultra-sensitivity is the ability to pick up diseases earlier. So, the challenges that presents itself is others mimic that same wording, right? But Simoa truly has that capability, and what’s important is its ability to be accurate and highly sensitive in also undesirable matrices, right? And other platforms will claim to have that same capability, but the ability for Simoa to routinely and reliably provide absolute quantitation of biomarker levels is critical, right? And that’s been proven through case study after case study with our platform, the measures across cohorts remain consistent, independent of users or study sites, so they others will claim Ultra sensitivity, but truly, Simoa has that capacity and has the reliability and performance that’s been unmatched, and that has been shown over and over throughout clinic, different case studies.
PE: How is Quanterix approaching inclusivity and representation in the development and communication of biomarker-driven diagnostics?
Tetrault: Well, what’s critical and important about biomarker diagnostics and with each trial that presents itself, is the ability to measure different cohorts independent of who performed the testing. Right? And so, when we bring up diversity in populations, populations inherently male, female, Hispanic, Black, Pacific Islander, white, everyone has a different measure in terms of their biomarker baselines, right? And it’s understood that different biomarkers represent themselves differently in different cohorts. And it’s important for some for these studies to be able to be performed with something that’s ultra-sensitive and reliable, so independent of the population and independent of the person performing the study. It’s critical that you understand that the data that’s coming out is, in fact, accurate. So when we think about representation and applying the right metrics for the right populations, you want to be able to have reliable and consistent data, and that’s truly what Simoa is able to provide.